BI Engineer
Role summary by JobGrid
BI Engineer at Creditstar: Remote, India; Full time. JobGrid adds normalized role facts, source context, and a path to the employer application page so candidates can compare the listing before applying.
- Location and workplace: Remote, India
- Role classification: Full time
- Source freshness: checked by JobGrid on 2026-06-02.
- Application path: candidates continue to the employer application page with non-personal referral tags.
About Us
Creditstar Group is an international fintech company headquartered in Tallinn, Estonia, operating across multiple European markets. We build data-driven financial products and are looking for engineers who want to have a real impact in a fast-moving environment.
Role Overview
We are seeking a skilled BI Engineer with 3–7 years of experience to support data-driven decision-making. The ideal candidate will have strong expertise in data modeling, SQL, and modern data stack tools, familiarity with credit or lending metrics is a strong plus, as you'll be working closely with risk and finance teams where domain context matters as much as technical skill.
Key Responsibilities
- Design, build, and maintain Power BI dashboards that serve as the primary reporting layer for finance, risk, and product teams. Owning both the accuracy and performance of what gets published.
- Write efficient, well-structured SQL queries against Snowflake to extract, validate, and shape data for reporting and ad-hoc analysis.
- Design and implement scalable semantic data models in Power BI including DAX measures, star-schema structures, and calculated tables, ensuring reports perform reliably at scale.
- Build and manage data transformation logic using dbt, collaborating with the data engineering team to ensure the right data is available, structured correctly, and ready for the BI layer.
- Partner with finance, risk, and product stakeholders to translate business questions into well-defined reporting requirements.
- Own data validation and quality checks across your reporting surfaces.
- Contribute to metric governance: documenting definitions, business logic, and calculation methodology so that key terms like "active loan" or "default rate" mean the same thing across every report and every market.
- Identify opportunities to improve existing reports, reduce manual processes, and increase self-service capability across business teams.